<ul><li>Researchers propose a label-free approach to crafting scoring functions using domain expertise constraints.</li><li>The approach incorporates insights and business rules from domain experts as easily observable and specifiable constraints.</li><li>The constraints are used as weak supervision by a machine learning model to learn the scoring function.</li><li>The approach is tested on synthetic and real-life datasets, comparing it to supervised learning models.</li></ul>

I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise

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